quality_gate
Validates embodied-AI datasets against configurable publish rules and returns gate failures with validation evidence, covering fps, feature keys, scores, counts, NaN ratio, and anomalies.
Instructions
Evaluate configurable publish rules from an inline JSON object: expected fps/tolerance, required feature keys or kinds, minimum score/episodes/frames, maximum NaN ratio and anomaly-window counts. Returns gate failures plus validation evidence. Read-only and available as a background job.
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"path": "<path>"
},
"name": "quality_gate"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| rules | No | Rule overrides; omitted keys use training-oriented defaults (min_score=80, max_errors=0). |